Identification of Disulfidptosis‐Associated Hub Genes in Psoriasis via Integrated Transcriptomic and Experimental Validation Approaches

Psoriasis is a chronic, immune-mediated skin disease. While redox imbalance has been implicated in its pathogenesis, the involvement of newly identified cell death pathways remains unclear. Disulfidptosis, a novel form of regulated cell death driven by intracellular disulfide stress, has recently been linked to inflammatory and metabolic diseases, yet its role in psoriasis is unknown. We conducted an integrative analysis combining bulk transcriptomic data (GSE106992 and GSE11239) and single-cell RNA sequencing data (GSE162183) to identify disulfidptosis-related genes (DRGs) associated with psoriasis. Differentially expressed genes were intersected with a curated DRG list. Feature selection was performed using LASSO regression and random forest algorithms, followed by WGCNA to identify key modules. Immune infiltration and cell-type-specific expression were assessed, and findings were validated using an imiquimod-induced psoriasis-like mouse model through Western blotting. To investigate the role of disulfidptosis in psoriasis, we integrated bulk and single-cell RNA sequencing datasets from psoriatic lesional and non-lesional skin. Differential expression analysis, WGCNA, and machine learning approaches (LASSO regression and random forest) were employed to identify DRGs. Immune cell infiltration patterns were analyzed, and gene expression was validated in an imiquimod-induced psoriasis-like mouse model using Western blotting. Seven DRGs were differentially expressed in psoriatic lesions. Machine learning approaches converged on five candidate genes, with GYS1, SLC3A2, FLNA, FLNB, and TLN1 showing strong discriminatory power (AUC > 0.7). WGCNA identified four hub genes (GYS1, SLC3A2, TLN1, and FLNB) associated with disease-relevant gene modules. Immune infiltration analysis revealed significant correlations between DRG expression and key immune subsets, including activated CD4<sup>+</sup> memory T cells and M1 macrophages. Single-cell RNA-seq confirmed cell type-specific enrichment of DRGs in epidermal, mesenchymal, and immune cell populations. Protein-level validation in the murine model further supported transcriptional upregulation of these genes in psoriatic lesions. Our findings suggest that disulfidptosis-related pathways may contribute to psoriasis pathogenesis through interactions with immune infiltration. The identified hub genes, particularly GYS1 and SLC3A2, represent potential biomarkers and therapeutic targets, offering new insight into the complex molecular landscape of psoriasis.

Authors

Institutions

Publication Details

Journal
Journal of Cellular and Molecular Medicine
Published
2025-11-01
DOI
https://doi.org/10.1111/jcmm.70945
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of Disulfidptosis‐Associated Hub Genes in Psoriasis via Integrated Transcriptomic and Experimental Validation Approaches

F. Li, Yumi Wu, Siyu Liu, Chuanjian Lu et al.
Journal of Cellular and Molecular Medicine
Ferroptosis and cancer prognosis
article

Identification of Disulfidptosis‐Associated Hub Genes in Psoriasis via Integrated Transcriptomic and Experimental Validation Approaches

F. Li, Yumi Wu, Siyu Liu, Chuanjian Lu, Taoyu Chen, Maojie Wang, Chenyun Wang
article en

Abstract

Psoriasis is a chronic, immune-mediated skin disease. While redox imbalance has been implicated in its pathogenesis, the involvement of newly identified cell death pathways remains unclear. Disulfidptosis, a novel form of regulated cell death driven by intracellular disulfide stress, has recently been linked to inflammatory and metabolic diseases, yet its role in psoriasis is unknown. We conducted an integrative analysis combining bulk transcriptomic data (GSE106992 and GSE11239) and single-cell RNA sequencing data (GSE162183) to identify disulfidptosis-related genes (DRGs) associated with psoriasis. Differentially expressed genes were intersected with a curated DRG list. Feature selection was performed using LASSO regression and random forest algorithms, followed by WGCNA to identify key modules. Immune infiltration and cell-type-specific expression were assessed, and findings were validated using an imiquimod-induced psoriasis-like mouse model through Western blotting. To investigate the role of disulfidptosis in psoriasis, we integrated bulk and single-cell RNA sequencing datasets from psoriatic lesional and non-lesional skin. Differential expression analysis, WGCNA, and machine learning approaches (LASSO regression and random forest) were employed to identify DRGs. Immune cell infiltration patterns were analyzed, and gene expression was validated in an imiquimod-induced psoriasis-like mouse model using Western blotting. Seven DRGs were differentially expressed in psoriatic lesions. Machine learning approaches converged on five candidate genes, with GYS1, SLC3A2, FLNA, FLNB, and TLN1 showing strong discriminatory power (AUC > 0.7). WGCNA identified four hub genes (GYS1, SLC3A2, TLN1, and FLNB) associated with disease-relevant gene modules. Immune infiltration analysis revealed significant correlations between DRG expression and key immune subsets, including activated CD4<sup>+</sup> memory T cells and M1 macrophages. Single-cell RNA-seq confirmed cell type-specific enrichment of DRGs in epidermal, mesenchymal, and immune cell populations. Protein-level validation in the murine model further supported transcriptional upregulation of these genes in psoriatic lesions. Our findings suggest that disulfidptosis-related pathways may contribute to psoriasis pathogenesis through interactions with immune infiltration. The identified hub genes, particularly GYS1 and SLC3A2, represent potential biomarkers and therapeutic targets, offering new insight into the complex molecular landscape of psoriasis.

Journal of Cellular and Molecular MedicineVol. 29(21)
Guangzhou University of Chinese Medicine (CN)
National Natural Science Foundation of China, Guangzhou Municipal Science and Technology Bureau, Science and Technology Planning Project of Guangdong Province, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 51%
Ferroptosis and cancer prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.